Lead applied ML initiatives to integrate LLM and AI-agent technologies into client engagements, specifically focusing on anti-fraud and automation. Design agentic workflows and build automated evaluation pipelines to scale operational capacity and improve business margins.
Toloka
10 Remote Job Openings at Toloka
Own and scale the pipeline engine by turning the Ideal Customer Profile into qualified, sales-ready leads through multi-channel campaigns. Manage the demand generation tech stack and partner closely with sales teams to optimize conversion rates and revenue outcomes.
The role involves designing and delivering data labeling pipelines and technical solutions to meet customer needs. It also requires managing client communications and monitoring solution performance to ensure high-quality data delivery.
Design and implement end-to-end AI data labeling pipelines and tailored data solutions for customers. Act as a technical advisor to translate client needs into actionable delivery plans and manage project outcomes.
Define and execute the Physical AI data roadmap and manage the P&L for emerging robotics and automation business lines. Lead the operational lab, build strategic partnerships with hardware manufacturers, and scale a specialized team of engineers.
Design and implement end-to-end AI data labeling pipelines and tailored data solutions for customers. Act as a primary technical advisor to translate client needs into actionable delivery plans and scalable AI solutions.
Manage the end-to-end contract lifecycle for all agreements, ensuring proper routing, execution, and repository hygiene. Draft and negotiate procurement and vendor-side agreements while identifying privacy, security, and IP risks.
The role involves identifying and qualifying potential customers to generate new business opportunities and build effective pipelines. The representative will conduct outreach via multiple channels and develop scalable solutions for clients' machine learning challenges.
Develop core product functionality and improve AI agent capabilities to bring new features to production. Extend agent infrastructure and design observability metrics to ensure system reliability and quality.
Build and maintain secure integrations between HR systems, including ATS and HRIS, using webhooks and event-driven data flows. Design technical architectures, handle PII securely, and ensure reliable data propagation across the corporate infrastructure.
